Collection

2000 Annual Conference

Authors

Jawaharlal Mariappan; Ravi Ramachandran; Stephanie Farrell

system and fuzzy engine knock control into the mechatronics [19,20] laboratory atRowan.Details of Experiment on First Order Systems We have just started to implement the experiments described above. Some details onexperiments 3 and 4 are now given. Students build a first order lowpass filter [11] as shown inFigure 1. The component values are R1 = R2 = 1000 ohms and C = 0.47 microfarads. This resultsin a cutoff frequency of 338.63 Hz. The transfer function T(s) (Laplace transform domain) isderived along with an expression for the magnitude of the frequency response. This isexperimentally verified by using sinusoids at various frequencies as the input and measuring the

Collection

2000 Annual Conference

Authors

Marehalli G. Prasad; Consantin Chassapis; Sven Esche

. Tsatsanis who is the third principal investigator for the NSFproject are appreciated.Bibliography1 Knight, C. D. & DeWeerth, S. P. (1996). A shared remote testing environment for engineering education. Proceedings of the ASEE 1996 Annual Frontiers in Education Conference, Session 8c1, November 6-9, 1996, Salt Lake City, UT, USA, pp. 1003-1006.2 Chan, W. L. & So, A. T. P. (1994). A cost effective interactive multimedia system for electrical undergraduate laboratory sessions. Proceedings of the 1994 IEEE 1st International Conference on Multi-Media Engineering Education, July 6-8, 1994, Melbourne, Australia, pp. 219-224.3 Bugos, A. R. (1991). Multiple-sensor interactive video laboratory systems for engineering and

Conference Session

Computers in Education Poster Session

Collection

2002 Annual Conference

Authors

Rosana Miskulin; Mauro Miskulin; Geraldo Gonçalves Jr.; Dilermando Piva; Charlotte Gunawardena

; Exposition Copyright Ó 2002, American Society for Engineering Education A MODULE A S S E S

Collection

2001 Annual Conference

Authors

Norman Dennis

ASCE-sponsored faculty development program for C.E. faculty.The CFD was expected to create a high quality faculty development program to improve theteaching effectiveness of civil engineering faculty.Starting in fall of 1998, the CFD met and developed a plan for a quick start and planned for along-term comprehensive program. The quick start consisted of delivering a workshop at theUnited State Military Academy at West Point during the summer of 1999 known as the ExCEEdTeaching Workshop ’99 (ETW99). The starting point for the WestPoint ETW program was thehighly successful T4E (Teaching Teachers to Teach Engineering) program, which was developedat the U. S. Military Academy and sponsored by the National Science Foundation. The ETW99was a

Conference Session

Laboratory Experiences with Thermal and Chemical Systems and Sensors

Collection

2012 ASEE Annual Conference & Exposition

Authors

Jeffrey Corbet Johnson, Grand Valley State University; Nael Barakat, Grand Valley State University; Lihong (Heidi) Jiao, Grand Valley State University

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

448In all evaporations, the evaporants used were aluminum clips, approximately 0.5” in length andpre-bent into a v-shape.MethodologyFollowing a broad review of available processing schemes including many specifically tailoredfor vastly different configurations of evaporation equipment, two approaches to powersequencing were investigated [6] [7]. These approaches are explained in Table 2. Power levelswere specified as a percentage of the user-defined maximum input into the Sycon controller.Observations and Experimental FindingsMethod 1: Manual Linear IncreaseWith this method, the general trend was long deposition times of 30 minutes or more, lowdeposition rates (typically below 5 Å/s), and poor reproducibility. Evaporations from a singlefilament

Conference Session

Innovative Energy Projects

Collection

2012 ASEE Annual Conference & Exposition

Authors

Steven R. Walk, Old Dominion University

Tagged Divisions

Energy Conversion and Conservation

and comments on theinitial experiments, and the author‟s observations and recommendations for other instructorsattempting student-led laboratory design. The results can help shorten the laboratorydevelopment learning curve and alert faculty to common early project errors and omissions to beavoided. More significantly, the results show the value of employing student feedback duringthe laboratory development phase.Introduction and Lab ObjectivesA new course in energy conversion systems was designed to meet several developing needs: therenewed or expanding government and private interest in support of alternative energy sourceresearch and applications, and the technology and society studies requirement in the universityGeneral Education program

Collection

2001 Annual Conference

Authors

Carl White; Myra Curtis; Clifton Martin

Session 1653 Pre-Freshman Accelerated Curriculum in Engineering (PACE) Summer Bridge Program Carl White, Myra W. Curtis, Clifton S. Martin Morgan State UniversityAbstractFaculty and administrators at universities across the country are concerned with the retentionrates of freshmen. Studies have indicated that the freshman year is the most difficult year forcollege students. This is a transitional period from high school to college, where students mustadapt to a new learning and social environment.To address this transitional period for engineering freshmen

Conference Session

Navigating Diversity and Equity in STEM Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Amani Qasrawi, The University of Texas at San Antonio; Tulio Sulbaran, The University of Texas at San Antonio; Sandeep Langar, The University of Texas at San Antonio

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering Division(MIND)

]. Available: https://www.mass.edu/stem/documents/student%20interest%20summary%20report.pdf[6] S. Bhattacharyya, T. P. Mead, and R. Nathaniel, “The Influence of Science Summer Camp on African-American High School Students’ Career Choices: Influence of Science Summer Camp,” Sch. Sci. Math., vol. 111, no. 7, pp. 345–353, Nov. 2011, doi: 10.1111/j.1949- 8594.2011.00097.x.[7] K. A. Henderson, L. S. Whitaker, M. D. Bialeschki, M. M. Scanlin, and C. Thurber, “Summer Camp Experiences: Parental Perceptions of Youth Development Outcomes,” J. Fam. Issues, vol. 28, no. 8, pp. 987–1007, Aug. 2007, doi: 10.1177/0192513X07301428.[8] D. E. Chubin, G. S. May, and E. L. Babco, “Diversifying the Engineering Workforce,” J. Eng. Educ., vol. 94, no. 1

Conference Session

NSF Grantees Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sudeshna Pal, University of Central Florida; Ricardo Zaurin, University of Central Florida; Sierra Outerbridge, University of Central Florida; Michelle Taub, University of Central Florida; Hyoung Jin Cho, University of Central Florida

Tagged Topics

Diversity, NSF Grantees Poster Session

Faculty of the Faculty Cluster Initiative’s Learning Sciences Cluster at the University of Central Florida. Her research focuses on measuring self-regulated learning across research and learning contexts, such as STEM classrooms.Prof. Hyoung Jin Cho, University of Central Florida Professor Hyoung Jin Cho is the Associate Chair of the Department of Mechanical and Aerospace Engineering at the University of Central Florida. He coordinates two undergraduate programs – B. S. Mechanical Engineering and B. S. Aerospace Engineering. He has published over 130 peer-reviewed journal and proceeding papers. He has 12 and 6 patents granted in the U.S. and Korea, respectively, in the areas of sensors, microfluidic devices, and micro

Conference Session

Educational Research and Methods Division (ERM) Technical Session 10

Collection

2024 ASEE Annual Conference & Exposition

Authors

Luis Delgado Jr., Penn State; Catherine G. P. Berdanier, Pennsylvania State University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

]. Both face and contentvalidity search to decide the degree to which a construct is accurately translated intooperationalization. Face validity examines the operationalization at face value to determinewhether it is a good translation of the construct [26], while content validity examines theoperationalization compared to the construct’s relevant content area(s) (i.e., the appearance thatthe instrument measures what it is intended to measure) [27].Survey items were written by the first author and then reviewed and critiqued by various groups.The authors’ research lab group initially provided feedback on the survey questions’ clarity andreadability, and whether the items are relevant and right for measurement. This research groupbrings expertise

Conference Session

Technological and Engineering Literacy/Philosophy of Engineering Division (TELPhE) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Milana Hayley Grozic, University of Calgary; The University of British Columbia; Emily Ann Marasco, University of Calgary

Tagged Divisions

Technological and Engineering Literacy/Philosophy of Engineering Division (TELPhE)

. This module emphasizes theimportance of practicing technology-life balance.The fourth module, Practicing and Promoting Technology-Life Balance, equips students with therelevant tools to rethink and reconstruct their relationship(s) with digital technology. It providesstudents with examples of ways to improve their technology-life balance and encourages an opengroup discussion surrounding the topic. Students are also encouraged to ask questions to developa deeper understanding of the module content thus far.The fifth and final module, Personal Reflection, is an individual reflection assignment gearedtowards encouraging long-term retention of the information provided. The assignment promptsstudents to create four obtainable goals related to

Conference Session

Faculty and Program Developments, Exchanges, and Partnerships

Collection

2011 ASEE Annual Conference & Exposition

Authors

Sowmya Narayanan, VIT University; Muniratnam Adithan, VIT University, Vellore; Robert C. Creese, West Virginia University

Tagged Divisions

International

itself to the21st Century Learning Skills. The Academic Staff College encourages innovation and creativityamong its faculty and supports the introduction of new pedagogical methods and new learningapproaches in delivering instruction. It has positioned itself as a forerunner to bring about theparadigm shift from “teaching to learning.” New initiatives with particular reference to WIPRO‟s Project 1, an academia industrypartnership between WIPRO, a global IT and Engineering Enterprise and VIT University hasproduced a metamorphosis in the teaching learning process at the University. Individual learninghas been replaced with collaborative and group learning; lectures have been complemented withrole play, simulation, word games and group

Conference Session

Computed Simulation and Animation

Collection

2005 Annual Conference

Authors

Thomas Edgar; Cameron Wright; Robert Kubichek; Raymond Jacquot

for the physical problems discussed in this work. Table 1 Partial Differential Equation Operators for Problems Considered Problem Lt[.] Lx[.] ___________________________________________________________ ∂2 1 ∂2 Transmission Line − 2 ∂t L' C' ∂x 2 S ∂ ∂2 1 ∂ K' Groundwater − + − T ∂t ∂x 2

Conference Session

Assessing with Technology

Collection

2005 Annual Conference

Authors

Jonathan P. Mathews; David Morales

online learning: greater flexibility maypromote greater procrastination with concurrent negative consequences. Procrastinationis especially prevalent among novice online learners, specifically the male traditionalcampus-based undergraduate student. This paper investigates the relationship betweenperformance and procrastination for campus-based “traditional” students enrolled in afully online, large enrollment (300+ students a semester), general education class.Procrastination was rampant with 40% of students typically starting the weekly lesson(s)on the due date(s). Procrastinators had reduced grades (6% lower or an average “A” to“B+/A-” transition) for weekly reflection activities. Males were more susceptible tonegative consequences in

Conference Session

Use of Labs to Introduce Students to Engr.

Collection

2002 Annual Conference

Authors

Fan Lau; Kathryn Hollar; Eric Constans; Kauser Jahan; Bernard Pietrucha; Paris von Lockette; Linda Head

on student remarks and faculty experience) include better communication betweenwriting and engineering faculty, allowing more time for students to develop designs, andrequiring more coordination between robot and fuel cell subteams. Page 7.270.6Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition Copyright  2002, American Society for Engineering EducationREFERENCES(1) Newell, J. A.; Marchese, A. J.; Ramachandran, R. P.; Sukumaran, B.; Harvey, R. International Journal of Engineering Education 1999, 14.(2) Kim, N.; Choi, Y.; Jung, S.; Kim, S

Conference Session

Lab Experiments in Materials Science

Collection

2002 Annual Conference

Authors

Harvey Abramowitz

Eq. 1 where Ymax = maximum deflection of plank at a given load P = applied static load S = supported span length E = modulus of elasticity (MOE) I = moment of inertiaThe moment of inertia for a rectangular cross section is: 5 I = wt 3/12 Eq. 2 where w = plank width t = plank thicknessSubstituting into Eq. 1, gives: Ymax = PS 3/4Ewt3 Eq. 3Solving for E: E = PS 3/4wt3Ymax

Conference Session

NSF Grantees’ Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Susan M. Lord, University of San Diego; Matthew W. Ohland, Purdue University and Central Queensland University; Richard A. Layton, Rose-Hulman Institute of Technology

Tagged Topics

NSF Grantees Poster Session

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

Education. 6. An extension of the FIE 2013 article comparing the engineering fields with the largest enrollments but smallest percentage of women, namely Electrical and Mechanical Engineering is also being considered. This was not originally planned in the proposal but has been a useful analysis.Finally, a consideration of the exchange between Mechanical and Aerospace Engineering is thefocus of an ASEE 2014 conference paper.7Publications Related to this GrantM. K. Orr, S. M. Lord, R. A. Layton, and M. W. Ohland, (in press). Student Demographics andOutcomes in Mechanical Engineering in the U.S.. International Journal of MechanicalEngineering Education.M. Madsen Camacho and S. M. Lord (2013). Latinos and the Exclusionary Space of

Conference Session

First-Year Programs Division Technical Session 7: Retention & Success

Collection

2024 ASEE Annual Conference & Exposition

Authors

Krystal Corbett Cruse, Louisiana Tech University; Carl Boyet, Louisiana Tech University; James D. Palmer, Louisiana Tech University

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs Division (FYP)

Tech University Virgil Orr Professor of Chemical Engineering Director of Biomedical and Chemical Engineering ©American Society for Engineering Education, 2024 Improving First-Year Engineering Student Success with Targeted Financial Assistance, Supplemental Instruction, and Cohort Team BuildingAbstractThis complete research paper assesses the first-year implementation of an NSF-funded S-STEMeffort, the SUCCESS Scholars Program (SSP), established in the Fall of 2022 at Louisiana TechUniversity.Louisiana Tech University is a Carnegie High Research Activity University that hasapproximately 20% of its 7500 undergraduates as engineering majors, is geographicallydistanced

Conference Session

ML and Generative AI Tools and Policies

Collection

2024 ASEE Annual Conference & Exposition

Authors

Alyson G. Eggleston, Pennsylvania State University; Robert J. Rabb P.E., Pennsylvania State University

Tagged Divisions

Computers in Education Division (COED)

credibility of the subject matter before wider dissemination andimplementation.References[1] M. H. Temsah, I. Altamimi, A. Jamal, K. Alhasan, & A. Al-Eyadhy, ChatGPT surpasses 1000 publications on PubMed: envisioning the road ahead. Cureus, 15(9) 2023.[2] G. Conroy, Surge in number of extremely productive authors’ concerns scientists. Nature, 625(7993), 14-15. 2024.[3] R. Van Noorden and J. M. Perkel, AI and science: what 1,600 researchers think. Nature, 621(7980), 672-675, 2023.[4] M. Binz, S. Alaniz, A. Roskies, B. Aczel, C. T. Bergstrom, C. Allen, C. and E. Schulz, How should the advent of large language models affect the practice of science?. arXiv preprint arXiv:2312.03759, 2023.[5] E. M. Bender, T. Gebru, A. McMillan-Major, S

Collection

2008 Pacific Southwest Section Meeting

Authors

Keith E. Holbert; George G. Karady

—specifically a K-12 school teacher—toprovide authoritative source(s) of the STATEMENT, what was envisioned as a simple search andproof would ultimately reveal a lack of evidence for the cited statistics. The STATEMENT beingreferred to here is that people (or students) learn (or recall/remember): • 10% of what they read • 20% of what they hear • 30% of what they see • 50% of what they hear and see • 70% of what they say (and write) • 90% of what they say as they do a thingThere are various forms and permutations of the STATEMENT found in published literature. Thispaper details the results of the quest to find support for the STATEMENT. This is not the firstinvestigation into the source of these numbers, as our literature search

Collection

2008 Pacific Southwest Section Meeting

Authors

Larry Jang

resultscollected during laboratory time will be presented. The use of such systems in senior ProcessControl class and Unit Operations Laboratory class greatly enhances student learning.Introduction In engineering education, one of the tasks for instructors is to bridge the “gap” betweentheory and practice for students. For years, the traditional approach adopted in most controlcurriculum is to develop dynamic models of systems using Laplace transform as the keyanalytical tool. While this approach is mature and many tuning rules have been developed forindustrial application, students tend to consider Process Control as another course inmathematics in which the usual time domain is transformed to an abstract Laplace s-domain. Afew years ago some

Collection

2018 ASEE Midwest Section Conference

Authors

Paul N. Runnion; Barbara J. Wilkins

, Success for Calculus,to give these students a fresh start and the opportunity to reinforce their mathematicalpreparedness while also addressing many of their struggles with non-mathematical issues. Wediscuss how this course has evolved, its structure, and its impact on our students.Unclogging the Calculus PipelineIn 2013, the administration of Missouri University of Science and Technology (Missouri S&T)released a new strategic plan. One goal stated in the strategic plan was, as a campus, to “modifyour conventional methods of teaching to accommodate current, new and advanced technologythat will enhance student learning and increase faculty productivity.” While this soundssufficiently general (as would befit a strategic planning document), the

Collection

2011 Fall ASEE Middle Atlantic Section Conference

Authors

Melissa P. Mackinnon; Kyle D. Gilroy; Aarthi Sundar; Robert Hughes; Svetlana Neretina

, 2264-2271 (2005).(2) A J. Haes, R. P. Van Duyne, A unified view of propagating and localized surface plasmonresonance biosensors, Anal. Bioanal. Chem. 379, 920-930 (2004).(3) M. Chen, J. Kim, J. P. Liu, H. Y. Fan, S. H. Sun, Synthesis of FePt nanocubes and theiroriented self-assembly, J. Am. Chem. Soc. 128, 7132-7133 (2006).(4) S. H. Sun, Recent advances in chemical synthesis, self-assembly, and applicationsof FePt nanoparticles, Adv. Mater. 18, 393-403 (2006).(5) D. Gao, R. R. He, C. Carraro, R. T. Howe, P. D. Yang, R. Maboudian, Selective growth ofSi nanowire arrays via galvanic displacement processes in water-in-oil microemulsions, J. Am.Chem. Soc. 127, 4574-4575 (2005).(6) Greyson, E. C.; Babayan, Y.; Odom, T. W., Directed growth of

Collection

2025 Northeast Section Conference

Authors

Nusrat Zahan; Sidike Paheding

imagesaffect the performance of SR models, making it difficult to but also the extraction of valuable data, as discussed by Islamextract accurate information. Data augmentation is a key strategy et al. [3], indicating how much SR performance underwaterto address these issues, involving deliberate adjustments to a can be impacted by these distortions.dataset to improve its diversity. Such adjustments include imagerotation, flipping, s caling, b rightness, c ontrast, a nd saturation. Data augmentation (DA) has been proven as a successfulData augmentation plays a significant r ole, e specially i n deep solution to these challenges. In other words, data augmentationlearning applications with sparse training data

Conference Session

Student Experiences and Development – Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Madeline Roth, Bucknell University; Elif Miskioglu, Bucknell University; Adam R. Carberry, Arizona State University; Kaela M. Martin, Embry-Riddle Aeronautical University - Prescott

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

demographics are in Bolton [14] forthe early-career sample and Miskioğlu et al. [6] for the mid-to-late career sample. Allparticipants self-identified as women or men in an open-response text box.Data Collection is also described in detail in prior work [6], [14]. All interviews followed thesame previously tested protocol [1], [6], [14]. This protocol includes three main interviewsections: expertise, decision making, and intuition. In this paper, we are only interested in theintuition section of the interviews.Table 1 Pseudonyms categorized by years of experience with gender identity, racial/ethnicidentity, and degree discipline(s); tables adapted from Miskioglu et al. [6] and Bolton [14] Level of Reported Reported Years of

Conference Session

PCEE Technical Session 8: Engineering Design in Elementary School

Collection

2022 ASEE Annual Conference & Exposition

Authors

Amber Simpson, State University of New York at Binghamton; Peter Knox, State University of New York at Binghamton

your problem ideas and why each one is a problem. Then discuss and pick ONE problem you would like to design a solution for as a team of engineers. 2. As a family, record and share your brainstorming conversation as it unfolds (i.e., in-the- moment). Then pick ONE design solution. 3. As a family, share your detailed plan(s). Walk us through how you made your decisions and the materials you will use.Each family recorded and shared their response to these prompts through Sibme, an app thataffords an exchange of videos and resources through a secure cloud. The amount of video datashared from each family varied from 1:30 (min:sec) to 39:48.In addition, each family attended both show-and-tell sessions that lasted

Conference Session

CIT Division Technical Session #2

Collection

2022 ASEE Annual Conference & Exposition

Authors

Robin Hensel, West Virginia University; Katerina Goseva-Popstojanova, West Virginia University

Curriculum and Instruction, focusing on STEM teaching in higher education, and B.S. and M.A. degrees in Mathematics. Prior to joining academia, she worked with engineering teams and in project management and administration as a Mathematician and Computer Systems Analyst for the U. S. Department of Energy. She has over 30 years of experience teaching mathematics, statistics, computer science, and fundamental engineering courses as well as serving in several administrative roles within higher education. Throughout her career, Hensel has created a childcare facility at a federal research lab, coached middle school MATHCOUNTS students, facilitated STEM K-12 teacher training, built an undergraduate first-year engineering program

Conference Session

NSF Grantees Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Erika Mosyjowski, University of Michigan; Kelley Dugan, University of Michigan; Shanna Daly, University of Michigan; Colleen Seifert, University of Michigan; Elizabeth Pollack

engineering in the new century. Washington, DC: National Academy of Engineering. Retrieved from http://www.nap.edu/catalog.php?record_id=10999[7] Sheppard, S., Macatangay, K., Colby, A., & Sullivan, W. (2009). Educating engineers: Design for the future of the field. San Francisco: Jossey-Bass.[8] Duderstadt, J. (2008). Engineering for a changing world: A roadmap to the future of engineering practice, research, and education. Ann Arbor, MI: The Millennium Project. Retrieved from http://milproj.dc.umich.edu/.[9] Lattuca, L., Terenzini, P., Ro, H. K., & Knight, D. (2014). America's Overlooked Engineers: Community Colleges and Diversity in Engineering Education.[10] Riley, D. (2008). Engineering and social

Conference Session

Reviewing Methods for Educational Research

Collection

2023 ASEE Annual Conference & Exposition

Authors

Xiaoye Yang, University of Massachusetts, Lowell; Hsien-Yuan Hsu, University of Massachusetts, Lowell; Giovanni Bautista, University of Massachusetts, Lowell; Yanfen Li, University of Massachusetts, Lowell

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

to be an important part of the life and activity of the class”. This definitionpresents SB as a unidimensional construct, which can be measured as a general SB.Alternatively, Freeman et al. [3] view SB as a multidimensional construct encompassing classbelonging, university belonging, professors’ pedagogical caring, and social acceptance,suggesting that measuring SB should be approached by asking questions that correspond to eachof these dimensions. Given the diversity of conceptual definitions of SB, it is reasonable toanticipate the presence of multiple measurement instruments for this construct. For example,Goodenow’s Psychological Sense of School Membership [PSSM] was created to measure ageneral SB, while William et al.’s Higher Education

Conference Session

Environmental Engineering Division Technical Session 2: Innovative Approaches for Teaching Environmental Engineering

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Jean M. Andino, Arizona State University; Cameron N. Morgan, Arizona State University; Lizandra C. Godwin, University of New Mexico

Tagged Divisions

Environmental Engineering

learning. Entrepreneurial Indicator Item(s) used Level of Proficiency Mindset for assessment “Parameter” Well Above Proficient Proficient Below Proficient Curiosity Exploring Porosity The student is able to The student is able The student is alternative calculations correctly calculate the to correctly able to correctly scenarios porosities of fabric calculate the calculate the materials greater than porosities of fabric porosities